8000 BUG: fix ma.median for empty ndarrays by juliantaylor · Pull Request #8707 · numpy/numpy · GitHub
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BUG: fix ma.median for empty ndarrays #8707

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Merged
merged 1 commit into from
Feb 27, 2017
Merged

BUG: fix ma.median for empty ndarrays #8707

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7 changes: 7 additions & 0 deletions numpy/ma/extras.py
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8000 Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -720,6 +720,13 @@ def _median(a, axis=None, out=None, overwrite_input=False):
elif axis < 0:
axis += asorted.ndim

if asorted.shape[axis] == 0:
# for empty axis integer indices fail so use slicing to get same result
# as median (which is mean of empty slice = nan)
indexer = [slice(None)] * asorted.ndim
indexer[axis] = slice(0, 0)
return np.ma.mean(asorted[indexer], axis=axis, out=out)

if asorted.ndim == 1:
counts = count(asorted)
idx, odd = divmod(count(asorted), 2)
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6 changes: 3 additions & 3 deletions numpy/ma/tests/test_extras.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1044,14 +1044,14 @@ def test_empty(self):

# axis 0 and 1
b = np.ma.masked_array(np.array([], dtype=float, ndmin=2))
assert_equal(np.median(a, axis=0), b)
assert_equal(np.median(a, axis=1), b)
assert_equal(np.ma.median(a, axis=0), b)
assert_equal(np.ma.median(a, axis=1), b)

# axis 2
b = np.ma.masked_array(np.array(np.nan, dtype=float, ndmin=2))
with warnings.catch_warnings(record=True) as w:
warnings.filterwarnings('always', '', RuntimeWarning)
assert_equal(np.median(a, axis=2), b)
assert_equal(np.ma.median(a, axis=2), b)
assert_(w[0].category is RuntimeWarning)

def test_object(self):
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0